A generalized linear mixed model or a mixed model can be adjusted to accomplish the effect of group (control vs experimental) as a fixed effect and in the effect of the phasis (pre test vs pos test) as a random residual effect identifing each subject. The model must contain main effects and the interaction.
How to use that model in SPSS? Sir, Will you further guide me please?
Without disagreeing with Marcelo's answer, it might be overkill as a general case of many specific cases.
For this specific case, probably the most common approach would be a 2 x 2 (between/within) ANOVA, where the interaction term reflects the difference between groups in the change between pre- and post-test.
Patrick, your solution in SPSS is something like this?
https://www.youtube.com/watch?v=44WzGjadUew
I don't use SPSS, but it's quite a standard analysis. It should be easy to implement.
Muhammad, take a look at the video Marcelo pointed. It and similar videos help.
ıt depends on your research hypothesis and your data without knowing your research hypothesis and data, we just give you general comments mostly used in applied research.
There are several factors to consider in arriving at what test to conduct in your case. To be able to give specific answers to your question, you need to help us by telling us more about things like your research objectives and the research questions you wish to answer, what your outcome(s) of interests is (are), and how the data was collected.
Without the above details, we can only speculate about possible tests which might not be of help to you in terms of your study.
Thanks
Thank you very much all of you; Marcelo Corrêa Alves, Patrick S Malone, Mehmet Sinan Iyisoy, Ertuğrul Şahin, and Justice Moses K. Aheto.
Special thanks to Sir Marcelo Corrêa Alves.
I have go the solution to my problem. After analyzing all answers, I reached at the destination.
Thank you all.
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